Data Engineering Lead - Client Technology

Data Engineering Lead - Client Technology

Wrocław

Your key responsibilities

You will be owning the design and implementation of processes to extract, transform and load data from disparate sources into a form that is consumable by analytics processes, AI and Agentic AI systems, for large or more sophisticated projects, using advanced technical capabilities
You will take accountability for the production of a suite of high‑complexity data models, semantic layers and feature models, demonstrating strong understanding of data modelling standards to ensure high‑quality, AI‑ready and reusable data assets.
Working with departments across the business to help define and deliver business value, including AI‑driven use cases, while interfacing and presenting with program teams, management and partners to deliver large, sophisticated data, analytics and Agentic AI initiatives.
Leading the design, development and implementation of data pipelines supporting analytics, machine learning and autonomous agent workflows, reviewing work to ensure high quality, scalability, governance and secure AI data access.
Evaluating and resolving issues regarding data quality reviews, cleansing, data integration and migration, demonstrating sophisticated technical knowledge and showing technical leadership in aspects of data engineering while driving continuous improvement efforts
Providing a leadership role for the work group, ensuring the appropriate expectations, principles, structures, tools and responsibilities are in place to deliver the project
Analyzing the latest industry trends such as agentic ai, cloud computing and distributed processing and inferring potential impact on businesses (short and long-term)
Providing sophisticated technical expertise to maximize efficiency, reliability and value from current data engineering processes. Researching and supervising existing client base and industry developments to identify potential new product opportunities from emerging technologies
Developing strong working relationships with peers across engineering, collaborating to develop leading data engineering solutions
Driving consistency to the relevant data engineering and data modelling processes, procedures, standards, and may input into the definition, maintenance and implementation of technology standards Skills and attributes for success

Skills and attributes for success

To qualify for the role you must have

Batch Processing - Capability to design an efficient way of processing high volumes of data where a group of transactions is collected over a period of time.
Data Integration (Sourcing, Storage and Migration) - Capability to design and implement models, capabilities and solutions to manage data within the enterprise (structured and unstructured, data archiving principles, data warehousing, data sourcing, etc.). This includes the data models, storage requirements and migration of data from one system to another.
Data Quality, Profiling and Cleansing - Capability to review (profile) a data set to establish its quality against a defined set of parameters and to highlight data where corrective action (cleansing) is required to remediate the data.
Stream Systems - Capability to discover, integrate, and ingest all available data from the machines that produce it, as fast as it’s produced, in any format, and at any quality.

Ideally, you’ll also have

Business Information Glossaries – Azure Data Catalog, Microsoft Purview, Business Objects, Collibra
Cloud Computing Services –Microsoft Azure, Google Cloud Platform, Amazon Web Services, Azure OpenAI Service
Distributed Systems – Databricks, Spark, Hadoop, HDFS, Kafka, MapReduce/Hive, Storm, Zookeeper
ETL Tools – Azure Data Factory, BODS, IBM DataStage, Informatica, Power BI Dataflows, SAP Data Services
Graph Databases – Neo4j, Azure Cosmos, Stardog
NoSQL Document Stores – MongoDB, Elastic Search, DocumentDB, Apache CouchDB
Programming Languages – Python, SQL, Scala, R,
Relational MPP Databases – Snowflake, Azure Synapse Analytics, Amazon Redshift, GCP BigQuery
Relational SMP Databases – Azure SQL PaaS, MySQL, Oracle, PostgreSQL, SQL Server
Vector Databases & Semantic Search – Azure AI Search (Vector Search), ElasticSearch, Pinecone, Weaviate, FAISS, Milvus, semantic retrieval for RAG architectures

What we look for

Strong analytical skills and problem-solving ability
A self-starter, independent-thinker, curious and creative person with ambition and passion
Good interpersonal, communication, teamwork, and presentation skills
Customer focused
Excellent time leadership skills
Positive and constructive minded
Takes ownership for continuous self-learning
Takes the lead and makes decisions in critical times and tough circumstances
Attention to detail
High levels of integrity and honesty

What we offer you

At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more.

Are you ready to shape your future with confidence? Apply today.

To help create an equitable and inclusive experience during the recruitment process, please inform us as soon as possible about any disability-related adjustments or accommodations you may need.

Benefits:

sharing the costs of sports activities

sharing the costs of foreign language classes

sharing the costs of professional training & courses

life insurance

remote work opportunities

flexible working time

fruits

integration events

corporate sports team

mobile phone available for private use

charity initiatives

video games at work

family picnics

leisure zone

sharing the costs of tickets to the movies, theater

baby layette

christmas gifts

employee referral program

opportunity to obtain permits and licenses

and many more

Benefits:

sharing the costs of sports activities
sharing the costs of foreign language classes
sharing the costs of professional training & courses
life insurance
remote work opportunities
flexible working time
fruits
integration events
corporate sports team
mobile phone available for private use
charity events
video games at work
leisure zone
sharing the costs of tickets to the movies, theater
baby layette
christmas gifts
employee referral program
family picnics

About EY Poland

We are a global consulting firm - helping businesses, organizations and communities make the most of their potential. Our audit, consulting, legal, strategy, tax and transaction teams ask the non-obvious questions to find new answers to the complex challenges facing the world today.

We employ more than 390,000 exceptional people in over 150 countries around the world. In Poland there are over 7,000 of us, working in: Warsaw, Gdansk, Katowice, Krakow, Lodz, Poznan, Rzeszow and Wroclaw.

We create amazing things together every day. We have the people, the development path and the training to help you grow fast, gaining experience on successive projects.

We care about the environment - not just the business. As part of our plan, we have reduced our global greenhouse gas emissions by 40% from a 2019 baseline.

EY is an equal opportunity employer, we value and promote diversity in the knowledge and experience of our community. We operate the 'Level Up Without Barriers' program, which supports employees with disabilities to achieve their career ambitions and dreams.

EY provides all applicants with equal opportunities in the recruitment process, regardless of gender, age, race, religion, sexual orientation, national origin, disability or any other legally protected basis, in accordance with applicable law.

Przewodnik "Kariera w finansach i bankowości"

Przewodnik "Kariera w finansach i bankowości"

Przewodnik "Kariera w finansach i bankowości"

Przewodnik "Kariera w finansach i bankowości"

Data Engineering Lead - Client Technology